스케일에 강인한 곡률 특징 벡터를 활용한 실시간 손 모양 분류 기법

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 361
  • Download : 0
Hand shape classification is an important problem for the human computer interaction and the fingerspelling recognition. These problems need a real-time process and scale invariance. To this end, we propose a feature vector for hand shape classification which is fast, and robust to scale. The proposed method calculates an adaptive k-curvature which computes a curvature depending on the hand size. The proposed method works at 0.08sec per image and has a 99% accuracy.
Publisher
대한전자공학회
Issue Date
2016-06-24
Language
Korean
Citation

2016년도 대한전자공학회 하계학술대회

URI
http://hdl.handle.net/10203/209767
Appears in Collection
EE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0